Computer Vision & UAV 3D Reconstruction Engineer

Satyam Singh

+91-917******* # ******.******@*****.***

ï linkedin.com/in/satyamsingh2000 § github.com/SATYAMSINGH0707 Computer Vision & Robotics Engineer — UAV Perception — 3D Reconstruction Education

Chandigarh University June 2024

Bachelor of Engineering in Computer Science (Specialization: Internet of Things) Mohali, Punjab

• GPA: 7.15 / 10.00

• Relevant Coursework: Data Structures & Algorithms (C++), Linear Algebra (Computational), Probability & Statistics, Artificial Intelligence & Machine Learning, IoT Systems (C/Python), Computer Networks, Database Management Systems

Experience

IIT Bhilai March 2025 – Present

Project Assistant – 3D Reconstruction & Structural Health Monitoring Bhilai, India

• Designed and deployed an end-to-end photogrammetry pipeline (SfM MVS Mesh) using COLMAP for large-scale 3D reconstruction, processing 950+ high-resolution images for structural inspection applications.

• Generated high-resolution dense point clouds from sparse reconstructions for structural inspection applications.

• Optimized reconstruction workflows for robustness under varying lighting and viewpoint conditions.

• Applied continual learning strategies (CLNeRF) reducing catastrophic forgetting by 40% across sequential scenes.

• Improved training efficiency by 20% using knowledge distillation while maintaining >90% scene fidelity.

• Evaluated reconstruction quality using PSNR and LPIPS metrics for benchmarking performance. IIT Hyderabad October 2024 – March 2025

Junior Research Assistant – UAV Obstacle Avoidance & Autonomous Navigation Hyderabad, India

• Designed and implemented the Bendy Ruler Algorithm for dynamic obstacle avoidance in UAV systems, improving navigation efficiency by 30%.

• Integrated three LiDAR sensors for 360 environmental perception, reducing system latency by 40%.

• Developed multi-threaded pipelines for concurrent LiDAR data processing, improving real-time performance by 30%.

• Implemented waypoint-based autonomous navigation achieving 99% mission accuracy.

• Developed autonomous takeoff and landing functionality, reducing manual intervention by 90%.

• Conducted real-world UAV flight testing to validate perception and navigation performance under dynamic conditions.

Projects

Real-Time Skin Condition Assessment Python, OpenCV, Haar Cascade, ReportLab

• Built a real-time facial feature detection system using Haar Cascade classifiers achieving 95% detection accuracy.

• Designed an interactive visualization interface operating at 30 FPS for smooth real-time annotation.

• Implemented automated PDF report generation for structured analysis outputs using ReportLab. Emotion-Based Music Recommendation System TensorFlow, OpenCV, Flask

• Developed a deep learning-based facial emotion classifier (6 classes) achieving 85%+ prediction accuracy.

• Integrated real-time face detection pipeline with OpenCV achieving 30 FPS performance under varied lighting conditions.

• Built a Flask-based inference system for live webcam input and automated recommendation flow. Technical Skills

Programming: Python (3.9/3.11), C++, C, Multi-threaded Programming, Linux-based Development Computer Vision & Robotics: OpenCV, Structure-from-Motion (SfM), Multi-View Stereo (MVS), Point Cloud Processing, LiDAR-based Perception, Autonomous Navigation Systems, Real-time Perception Pipelines Deep Learning: PyTorch, TensorFlow, Keras, Knowledge Distillation, Continual Learning Hardware Exposure: Pixhawk Orange Cube, Raspberry Pi, LiDAR Sensors, GPS Modules, Motors & ESCs (UAV Systems) Achievements

• Secured 15 Lakhs research funding from IIT Hyderabad for a research proposal conceived and developed by me under the supervision of a professor at IIT Bhilai.

• Represented the department at ICDCN 2025 (Jan 4–7, 2025) at IIT Hyderabad, presenting work on autonomous navigation systems and IoT technologies.

• Secured 3rd Prize in Project Hackathon at Apex Institute of Technology, Chandigarh University (2022).

Contact this candidate